[Bug Fix] Illegal memory access, FP8 Llama 3.1 405b (#6852)

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Lucas Wilkinson 2024-07-26 22:27:44 -04:00 committed by GitHub
parent 981b0d5673
commit 55712941e5
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@ -328,20 +328,36 @@ struct Sm90ColOrScalarBroadcast {
return EmptyProducerLoadCallbacks{};
}
template<class GTensor, class RTensor>
template<class GTensor, class RTensor, class CTensor, class ProblemShape>
struct ConsumerStoreCallbacks : EmptyConsumerStoreCallbacks {
CUTLASS_DEVICE
ConsumerStoreCallbacks(GTensor&& tCgCol, RTensor&& tCrCol, Params const& params)
: tCgCol(cute::forward<GTensor>(tCgCol)),
tCrCol(cute::forward<RTensor>(tCrCol)),
params(params) {}
ConsumerStoreCallbacks(
GTensor&& tCgCol,
RTensor&& tCrCol,
CTensor&& tCcCol,
ProblemShape problem_shape,
Params const& params
):
tCgCol(cute::forward<GTensor>(tCgCol)),
tCrCol(cute::forward<RTensor>(tCrCol)),
tCcCol(cute::forward<CTensor>(tCcCol)),
m(get<0>(problem_shape)),
params(params) {}
GTensor tCgCol; // (CPY,CPY_M,CPY_N,EPI_M,EPI_N)
RTensor tCrCol; // (CPY,CPY_M,CPY_N,EPI_M,EPI_N)
RTensor tCrCol;
CTensor tCcCol; // (CPY,CPY_M,CPY_N,EPI_M,EPI_N)
Params const& params;
int m;
CUTLASS_DEVICE void
begin() {
Tensor pred = make_tensor<bool>(shape(tCgCol));
CUTLASS_PRAGMA_UNROLL
for (int i = 0; i < size(pred); ++i) {
pred(i) = get<0>(tCcCol(i)) < m;
}
if (!params.col_broadcast) {
fill(tCrCol, *(params.ptr_col));
return;
@ -349,7 +365,7 @@ struct Sm90ColOrScalarBroadcast {
// Filter so we don't issue redundant copies over stride-0 modes
// (only works if 0-strides are in same location, which is by construction)
copy_aligned(filter(tCgCol), filter(tCrCol));
copy_if(pred, filter(tCgCol), filter(tCrCol));
}
template <typename ElementAccumulator, int FragmentSize>
@ -381,8 +397,20 @@ struct Sm90ColOrScalarBroadcast {
mCol, args.tile_shape_mnk, args.tile_coord_mnkl, args.epi_tile, args.tiled_copy, args.thread_idx);
Tensor tCrCol = make_tensor_like(tCgCol); // (CPY,CPY_M,CPY_N,EPI_M,EPI_N)
return ConsumerStoreCallbacks<decltype(tCgCol), decltype(tCrCol)>(
cute::move(tCgCol), cute::move(tCrCol), params);
// Generate an identity tensor matching the shape of the global tensor and
// partition the same way, this will be used to generate the predicate
// tensor for loading
Tensor cCol = make_identity_tensor(mCol.shape());
Tensor tCcCol = sm90_partition_for_epilogue<ReferenceSrc>( // (CPY,CPY_M,CPY_N,EPI_M,EPI_N)
cCol, args.tile_shape_mnk, args.tile_coord_mnkl, args.epi_tile, args.tiled_copy, args.thread_idx);
return ConsumerStoreCallbacks(
cute::move(tCgCol),
cute::move(tCrCol),
cute::move(tCcCol),
args.problem_shape_mnkl,
params
);
}
};